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Biocatalytic designs for the conversion of renewable glycerol into glycerol carbonate as a value-added product

机译:生物催化设计,将可再生甘油转化为碳酸甘油酯,成为增值产品

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A comparative study of two different biocatalytic models, e.g. enzyme immobilized on magnetic particles (EIMP) and cross-linking enzyme aggregates onto magnetic particles (CLEMPA) was performed. The first model was designed as enzyme-immobilized on the magnetic particles surface (EIMP). The second model was constructed as a network structure with the enzyme aggregates and magnetic particles placed into the nodes and polyglutaraldehyde cross-linker as the network ledges. The design was called cross-linking enzyme aggregates onto magnetic particles (CLEMPA). The biocatalysts were prepared using lipase enzyme from Aspergillus niger for catalyzing the glycerol (Gly) conversion to glycerol carbonate (GlyC). The biocatalyst characteristics for both designs (EIMP and CLEMPA) were evaluated using scanning electron microscopy (SEM), laser light scattering (LLS) and UV-Vis techniques. The EIMP model was strongly influenced by the composition of the polymeric layer covering the particles surface, while the size of the magnetic particles affected mostly the CLEMPA design. Also, the biocatalytic capacity of the tested models was evaluated as maximum 52% Gly conversion with 90% GlyC selectivity for EIMP, and 73% Gly conversion with 77% GlyC selectivity for CLEMPA. Both biocatalytic models were successfully used to prepare GlyC from “crude” glycerol collected directly from the biodiesel process (e.g. 49% Gly conversion with 91% GlyC selectivity for EIMP and 70% Gly conversion with 80% GlyC selectivity for CLEMPA).
机译:两种不同生物催化模型的比较研究,例如将酶固定在磁性颗粒(EIMP)上,然后将酶聚集体交联到磁性颗粒(CLEMPA)上。第一个模型被设计为固定在磁性颗粒表面(EIMP)上的酶。第二个模型构建为网络结构,其中酶聚集体和磁性颗粒置于节点中,聚戊二醛交联剂作为网络壁架。该设计称为将交联酶聚集体交联到磁性颗粒上(CLEMPA)。使用来自黑曲霉的脂肪酶制备生物催化剂,以催化甘油(Gly)转化为碳酸甘油酯(GlyC)。使用扫描电子显微镜(SEM),激光散射(LLS)和UV-Vis技术评估了两种设计(EIMP和CLEMPA)的生物催化剂特性。 EIMP模型受到覆盖颗粒表面的聚合物层组成的强烈影响,而磁性颗粒的大小主要影响CLEMPA设计。同样,测试模型的生物催化能力被评估为最大52%的Gly转化率和对EIMP的90%GlyC选择性,以及73%的Gly转化率和对CLEMPA的77%的GlyC选择性。两种生物催化模型均成功地用于从直接从生物柴油过程中收集的“粗制”甘油制备GlyC(例如49%的Gly转化率,对EIMP的选择性为91%的GlyC和70%的Gly转化率和对CLEMPA的80%的GlyC的选择性)。

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